tadorfer / nlprot
NLP for Proteins - A paper collection
☆13Updated 4 years ago
Alternatives and similar repositories for nlprot
Users that are interested in nlprot are comparing it to the libraries listed below
Sorting:
- PaccMann models for protein language modeling☆42Updated 3 years ago
- ☆20Updated 2 years ago
- Improving protein function prediction with synthetic feature samples created by generative adversarial networks☆22Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 5 months ago
- ☆46Updated 5 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 4 years ago
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 2 years ago
- ☆35Updated 2 years ago
- Graph-based representation learning method for protein function prediction☆24Updated 4 years ago
- ☆18Updated 5 years ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated last year
- ☆24Updated 3 years ago
- HoTS: Sequence-based prediction of binding regions and drug-target interactions.☆26Updated 2 years ago
- Public repository describing training and testing of AntiBERTa.☆59Updated 2 years ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆77Updated 9 months ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated last year
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- ☆19Updated 4 years ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆63Updated last year
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆59Updated 9 months ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆39Updated last year
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆29Updated 4 years ago
- Predict the structure of immune receptor proteins☆48Updated 6 months ago
- A Python package for extracting protein sequence features☆59Updated 2 years ago
- Trainable representation analysis study repository☆42Updated 3 years ago
- Machine Learning Designs Non-Hemolytic Antimicrobial Peptides☆34Updated 4 years ago
- DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein☆47Updated last year
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago